The Tripartite Model of Neuroticism and the suppression of depression and anxiety within an escalation of commitment dilemma

We found evidence of a mutual suppression effect between anxiety and depression on an individual's level of commitment within escalation dilemmas. On the one hand, our results demonstrate a positive relationship between anxiety and level of commitment; on the other, our results demonstrate a negative relationship between depression and level of commitment. Based on the opposing relationships between anxiety and depression and commitment, the broad factor of neuroticism does not demonstrate any relationship with level of commitment, and the significant effects of anxiety and depression on commitment is contingent upon partialling the effect of the other facet of neuroticism. Thus, we contend that applied psychologists, who have focused on neuroticism as a broad construct, should consider the large body of work among clinical psychologists, who argue that anxiety and depression have unique variance associated with them. We conclude by addressing organizational implications of measuring the broad trait of neuroticism more narrowly.     

Are People Polite to Computers? Responses to Computer-Based Interviewing Systems1

The present studies were designed to test whether people are “polite” to computers. Among people, an interviewer who directly asks about him- or herself will receive more positive and less varied responses than if the same question is posed by a third party. Two studies were designed to determine if the same phenomenon occurs in human–computer interaction. In the first study (N= 30), participants performed a task with a text-based computer and were then interviewed about the performance of that computer on 1 of 3 loci: (a) the same computer, (b) a paper-and-pencil questionnaire, or (c) a different (but identical) text-based computer. Consistent with the politeness prediction, same-computer participants evaluated the computer more positively and more homogeneously than did either paper-and-pencil or different-computer participants. Study 2 (N= 30) replicated the results with voice-based computers. Implications for computer-based interviewing are discussed.     

Preparatory strategies in overlapping-task performance

In four experiments, we tested whether perceptual identification is impeded by temporal overlap with another task. The results demonstrate that temporal overlap with an auditory task consistently impaired the identification of the highest digit in a briefly presented and masked array of digits. The impairment was especially pronounced when we emphasized speed on the auditory task, thus counteracting the normal tendency to focus advance preparation on the more challenging visual task. The data also indicate that previous findings of minimal effects of temporal overlap may have been due to the use of a restricted range of stimulus onset asynchronies. The present results demonstrate the important role of preparatory strategies in overlapping-task performance, and show that perceptual identification is impeded by the overlapping performance of another task.     

Avoidance of pain of unpredictable intensity

Unpredictability of the intensity of an aversive event might be an important factor in producing negative effects of the event, especially if the UCS becomes stronger than could have been expected. The present experiment tested the hypothesis that unpredictability of intensity of a painful stimulus contributes to avoidance behaviour. The experiment was concealed in a shock working-up procedure, which was done to assess the pain level subjects were willing to tolerate in a subsequent experiment. The experimental subjects, who received an unannounced sudden increase of the pain stimulus during the working-up procedure, tolerated less pain on a subjective as well as on an objective level (avoidance of high levels of pain) than the control subjects, who received the stimuli in a predictable pattern. The results support the hypothesis that unpredictability of intensity of an aversive event contributes to avoidance behaviour.     

Learning to express motion events in English and Korean: the influence of language-specific lexicalization patterns.

English and Korean differ in how they lexicalize the components of motion events. English characteristically conflates Motion with Manner, Cause, or Deixis, and expresses Path separately. Korean, in contrast, conflates Motion with Path and elements of Figure and Ground in transitive clauses for caused Motion, but conflates motion with Deixis and spells out Path and Manner separately in intransitive clauses for spontaneous motion. Children learning English and Korean show sensitivity to language-specific patterns in the way they talk about motion from as early as 17-20 months. For example, learners of English quickly generalize their earliest spatial words--Path particles like up, down, and in--to both spontaneous and caused changes of location and, for up and down, to posture changes, while learners of Korean keep words for spontaneous and caused motion strictly separate and use different words for vertical changes of location and posture changes. These findings challenge the widespread view that children initially map spatial words directly to nonlinguistic spatial concepts, and suggest that they are influenced by the semantic organization of their language virtually from the beginning. We discuss how input and cognition may interact in the early phases of learning to talk about space.     

Partial information or facilitation? Different interpretations of results from speed-accuracy decomposition.

The speed-accuracy decomposition technique was developed by Meyer, Irwin, Osman, and Kounios (1988) to examine the time course of information processing. The technique allows for the estimation of the accuracy of guesses that are induced by the presentation of a response signal on a proportion of trials. Estimated guessing accuracy has been found to be above chance and to increase as time of guessing increases, suggesting that guesses are based on partial information that has accumulated prior to a response decision (sophisticated guesses). In this paper, a different interpretation of these data is presented. Results suggest that response signals may enhance the speed of regular processes, thereby violating the temporal-independence assumption that underlies the decomposition technique. As shown by Monte Carlo simulations, such facilitating effects of response signals can explain the results from the decomposition technique at least in part and possibly in full, even when guesses are actually at chance accuracy (pure guesses). The pure-guess model was supported by the results from an experiment designed to test between the alternative interpretations. These results point to the need for great caution in the attempt to infer the time course of information processing from guessing accuracies as estimated by the speed-accuracy decomposition technique.     

Partial information or facilitation? Different interpretations of results from speed-accuracy decomposition

The speed-accuracy decomposition technique was developed by Meyer, Irwin, Osman, and Kounios (1988) to examine the time course of information processing. The technique allows for the estimation of the accuracy of guesses that are induced by the presentation of a response signal on a proportion of trials. Estimated guessing accuracy has been found to be above chance and to increase as time of guessing increases, suggesting that guesses are based on partial information that has accumulated prior to a response decision (sophisticated guesses). In this paper, a different interpretation of these data is presented. Results suggest that response signals may enhance the speed of regular processes, thereby violating the temporal-independence assumption that underlies the decomposition technique. As shown by Monte Carlo simulations, such facilitating effects of response signals can explain the results from the decomposition technique at least in part and possibly in full, even when guesses are actually at chance accuracy (pure guesses). The pure-guess model was supported by the results from an experiment designed to test between the alternative interpretations. These results point to the need for great caution in the attempt to infer the time course of information processing from guessing accuracies as estimated by the speed-accuracy decomposition technique.     

Parental socialization of mental health in Chinese American families: What parents say and do,and how youth make meaning

Parental mental health socialization is a process by which parents shape how youth develop and maintain beliefs, attitudes, and behaviors regarding mental health and help-seeking behaviors. Although culture shapes parental mental health socialization, few studies have examined specific parental socialization practices regarding mental health and help-seeking, especially as a culturally anchored process. Using a qualitative approach, this study explores youth-reported parental socialization of mental health within Chinese American families by examining focus group data from 69 Chinese American high school and college students. Findings revealed that youth received parental messages that conveyed culturally anchored conceptualizations of mental health that included stigmatized views of mental illness and perceptions of mental distress as not a legitimate problem. Parents responded to youth distress in culturally consonant ways: by encouraging culturally specific coping methods, dismissing or minimizing distress, or responding with silence. Youth engaged in the active interpretation of parental messages through cultural brokering, bridging the gap between their parents’ messages and mainstream notions of mental health and help-seeking. Overall, our findings point to the significant role of culture in parental mental health socialization in Chinese American families and the need to integrate culturally specific understandings of mental health into future interventions for Asian American youth.     

Bayesian Extended Redundancy Analysis: A Bayesian Approach to Component-based Regression with Dimension Reduction

Abstract

Extended redundancy analysis (ERA) combines linear regression with dimension reduction to explore the directional relationships between multiple sets of predictors and outcome variables in a parsimonious manner. It aims to extract a component from each set of predictors in such a way that it accounts for the maximum variance of outcome variables. In this article, we extend ERA into the Bayesian framework, called Bayesian ERA (BERA). The advantages of BERA are threefold. First, BERA enables to make statistical inferences based on samples drawn from the joint posterior distribution of parameters obtained from a Markov chain Monte Carlo algorithm. As such, it does not necessitate any resampling method, which is on the other hand required for (frequentist’s) ordinary ERA to test the statistical significance of parameter estimates. Second, it formally incorporates relevant information obtained from previous research into analyses by specifying informative power prior distributions. Third, BERA handles missing data by implementing multiple imputation using a Markov Chain Monte Carlo algorithm, avoiding the potential bias of parameter estimates due to missing data. We assess the performance of BERA through simulation studies and apply BERA to real data regarding academic achievement.